Streamlined Quantitative Imaging Biomarker Development: Generalization of radiomics through automated machine learning

Abstract

Radiomics uses quantitative medical imaging features and AI to create predictive models which can be used as biomarkers. In this thesis, we have developped an adaptive radiomics framework to automatically optimize the radiomics workflow per application and demonstrate its use to create biomarkers in eight different clinical applications